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<p>As the demand for electricity continues to increase, both the generation and transmission capacity of modern generators are expanding. However, this development has brought major problems in fault detection and protection, especially in multi-circuit circuits where it is difficult for the electric current to mix between the lines. This article describes a new method for detecting faults in four-way transmission lines using a voltage meter at one end of the line. The recommended tactic involves subtracting and normalizing harmonic components via a discrete Fourier transform from voltage signals. These constructs train a simple but effective support vector machine (SVM) algorithm for local error detection. Testing the frequency model in PSCAD simulation software stabilizes the method’s accuracy. The results obtained from various faults in the region (including the difference between fault and attack) on a 400&#xa0;kV, 100&#xa0;km transmission line show the performance on the road. In addition, while the method is less sensitive to important parameters such as fault angle and resistance, it shows high sensitivity to the fault area. This demonstrates its effectiveness and ability to increase the reliability and efficiency of the communication network.</p>

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Fault Localization in Four Circuit Transmission Lines Using Support Vector Machine Algorithm

  • 期刊论文

  • 发表日期：

    2026年2月3日

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  • Zhenhua Han

摘要

As the demand for electricity continues to increase, both the generation and transmission capacity of modern generators are expanding. However, this development has brought major problems in fault detection and protection, especially in multi-circuit circuits where it is difficult for the electric current to mix between the lines. This article describes a new method for detecting faults in four-way transmission lines using a voltage meter at one end of the line. The recommended tactic involves subtracting and normalizing harmonic components via a discrete Fourier transform from voltage signals. These constructs train a simple but effective support vector machine (SVM) algorithm for local error detection. Testing the frequency model in PSCAD simulation software stabilizes the method’s accuracy. The results obtained from various faults in the region (including the difference between fault and attack) on a 400 kV, 100 km transmission line show the performance on the road. In addition, while the method is less sensitive to important parameters such as fault angle and resistance, it shows high sensitivity to the fault area. This demonstrates its effectiveness and ability to increase the reliability and efficiency of the communication network.